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Evidence record 3403 · automatically gathered

Acting with AI: An Interaction-Based Framework for Agentic Tort Liability

Agentic AI systems can plan over multiple steps, use tools, and execute tasks over time. When such systems cause harm, tort law struggles to allocate responsibility because the harmful path may be neither fully chosen by the user nor specifically foreseen by the developer. This paper proposes an interaction-based framework for agentic torts, drawing on Michael Bratman's planning theory and on the common law's treatment of human-human concerted action. We distinguish three interaction types: auto

Record details

Published: 30 May 2026
Source: arXiv
Category: Research
Topics: Regulation · Agents & autonomy
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (30 May 2026), “Acting with AI: An Interaction-Based Framework for Agentic Tort Liability,” evidence record 3403, https://ethics.ai/record/3403 (originally published by arXiv).

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